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Entry Level Machine Learning Visa Sponsorship Jobs

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Chefman is unable to provide visa sponsorship for this position. Candidates must be legally ...

Drawbridge

Entry Level Machine Operator

Golden, CO · On-site

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

Drawbridge

Entry Level Machine Operator

Golden, CO

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

Transform machine learning models into APIs to interact with other applications. * Use expert ... Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates ... Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds ...

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Entry Level Machine Learning Visa Sponsorship information

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How much do entry level machine learning visa sponsorship jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level machine learning visa sponsorship in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What types of projects and collaboration can an entry level machine learning employee expect, especially when working under visa sponsorship?

Entry level machine learning professionals typically work on well-defined tasks such as data preprocessing, model training, and assisting with algorithm development under the guidance of senior team members. Collaboration is a key part of the role, often involving cross-functional teams including data engineers, software developers, and domain experts. Those on visa sponsorship can expect structured onboarding, mentorship opportunities, and regular feedback to support both technical growth and integration into the team. Many organizations provide clear project scopes and documentation, making it easier for new hires to ramp up and contribute effectively.

What are Entry Level Machine Learning Visa Sponsorship jobs?

Entry Level Machine Learning Visa Sponsorship jobs are positions in the field of machine learning that are suitable for candidates with little to no professional experience and are open to applicants who require employer sponsorship for a work visa. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior engineers or scientists. Employers offering visa sponsorship help international candidates legally work in the country, often supporting H-1B or similar visa processes. Such jobs are common in technology companies, research labs, and startups that need fresh talent and are open to hiring globally.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree or coursework. Experience with programming languages like Python or R, familiarity with ML libraries (such as TensorFlow or scikit-learn), and knowledge of data processing tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and deliver impactful solutions. These skills ensure you can build, evaluate, and deploy machine learning models that address real-world challenges and support business objectives.

What is the difference between Entry Level Machine Learning Visa Sponsorship vs Entry Level Data Scientist Visa Sponsorship?

AspectEntry Level Machine Learning Visa SponsorshipEntry Level Data Scientist Visa Sponsorship
Required CredentialsBachelor's in CS, ML, or related; basic programming skillsBachelor's in CS, Statistics, or related; programming and analytical skills
Work EnvironmentResearch labs, tech companies, startupsTech firms, finance, healthcare, consulting
Industry UsageDeveloping ML models, algorithmsAnalyzing data, building predictive models
Common Search IntentVisa sponsorship for ML rolesVisa sponsorship for data science roles

Both roles require similar educational backgrounds and programming skills, often working in tech-driven environments. The main difference lies in focus: Machine Learning roles emphasize developing algorithms and models, while Data Scientist roles focus on analyzing data and deriving insights. Visa sponsorship processes are comparable, but candidates should tailor their applications to the specific role's requirements.

More about Entry Level Machine Learning Visa Sponsorship jobs
What cities are hiring for Entry Level Machine Learning Visa Sponsorship jobs? Cities with the most Entry Level Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Entry Level Machine Learning Visa Sponsorship jobs? States with the most job openings for Entry Level Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Entry Level Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Entry Level Machine Learning Visa Sponsorship jobs are:
Entry Level Machine Learning Visa Sponsorship jobs near you
Infographic showing various Entry Level Machine Learning Visa Sponsorship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Re-posted 7 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Key Responsibilites
  • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
  • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Academic Qualifications
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
 
Professional Experience - Minimum
  • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Excellent problem-solving and troubleshooting skills to address complex technical challenges.
  • Effective communication and collaboration skills to work with cross functional teams.
Professional Experience - Preferred
  • 2 years of experience with improving performance during large scale data processing
  • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
  • Excellent data analysis skills.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability